Cloud & Infrastructure Engineer

About CONXAI

CONXAI has built an agentic AI platform for the Architecture, Engineering and Construction (AEC) and physical industries, focused on knowledge-automation. We automate high-stakes, knowledge-intensive workflows traditionally trapped in siloed data, fragmented tools and tacit (undocumented) human expertise.

Our multi-agent systems perform complex reasoning in the physical world; and transform bespoke, service-heavy processes into scalable Service-as-a-Software automation.

CONXAI is trusted by some of the leading AEC companies in Europe, US, LATAM and Japan.

Your Role

Build scalability and resilience for high-stakes AI reasoning

We are looking for a Cloud & Infrastructure Engineer to take the backbone of our agentic AI platform to its next evolution. You won't just be managing servers; you will architect the distributed environment where complex multi-agent systems perform real-time reasoning for the physical world. Your mission is to ensure our infrastructure is as modular and scalable as the knowledge automation use cases we power.

What You’ll Do

• Orchestration: Architect and maintain production-grade Kubernetes clusters to support high-compute AI workloads
  
  
• IaC: Use Terraform to manage multi-region AWS environments, ensuring our global footprint (EU, US, LATAM, Japan) is consistent and secure
  
  
• CI/CD Excellence: Build and optimize GitLab pipelines to automate the deployment of containerized microservices via Helm and Docker
  
  
• Resilience: Implement robust monitoring and auto-scaling strategies to handle the "bursty" nature of knowledge-intensive AI processing
  
  
• Security: Ensure enterprise-grade security protocols for siloed AEC data, maintaining strict compliance across different geographic regions

Who You Are

• 4+ years in DevOps or SRE roles with a focus on Kubernetes (k8s) and AWS
  
  
• Tooling Expert: Mastery of Helm, Docker, and Terraform is non-negotiable
  
  
• Pipeline Architect: Proven experience building complex, automated workflows in GitLab
  
  
• The "Why" Thinker: You don't just fix bugs; you build systems that prevent them, focusing on the long-term reliability of our "Service-as-a-Software" model

Why CONXAI

• Edge of Innovation: Architect the backbone for real-time agentic AI in the AEC space.
• High Autonomy: Drive the infrastructure strategy to scale our platform to its next evolution
• Top-Tier Peer Group: Work with a global team of ML engineers, software engineers and industry practitioners
• Equity & Scale: Competitive compensation with significant equity upside